Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105520
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dc.contributorDepartment of Computing-
dc.creatorJiang, J-
dc.creatorSheng, B-
dc.creatorLi, P-
dc.creatorMa, L-
dc.creatorTong, X-
dc.creatorWu, E-
dc.date.accessioned2024-04-15T07:34:49Z-
dc.date.available2024-04-15T07:34:49Z-
dc.identifier.issn1524-0703-
dc.identifier.urihttp://hdl.handle.net/10397/105520-
dc.language.isoenen_US
dc.publisherElsevier Inc.en_US
dc.rights©2020 Elsevier B.V. All rights reserved.en_US
dc.rights©2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Jiang, J., Sheng, B., Li, P., Ma, L., Tong, X., & Wu, E. (2020). Real-time hair simulation with heptadiagonal decomposition on mass spring system. Graphical Models, 111, 101077 is available at https://doi.org/10.1016/j.gmod.2020.101077.en_US
dc.subjectGPU parallel computingen_US
dc.subjectHairen_US
dc.subjectMass springen_US
dc.subjectReal-time simulationen_US
dc.subjectTime integrationen_US
dc.titleReal-time hair simulation with heptadiagonal decomposition on mass spring systemen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume111-
dc.identifier.doi10.1016/j.gmod.2020.101077-
dcterms.abstractSimulating detailed dynamic hairs in real time is a challenging problem. Existing methods either simplify the strand dynamics or reduce the degrees of freedom at the cost of rich motion details. We present a real-time simulation for animating hair with high fidelity details. Our approach efficiently captures the inextensibility, bending and torsion strand mechanics, while presenting the stiction/repulsion and detailed real-time collision effects. To efficiently capture self-interactions, we factorize the phenomenon into a coarse, globally coupled volumetric, and detailed collision view. The coarse behaviors are solved with an Eulerian method via position-based density control, while detailed collisions are efficiently handled with temporal coherent link updates. We further provide a fast implicit integration via heptadiagonal matrix decomposition, which provides two to three orders of magnitude of acceleration to traditional methods. The efficiency and effectiveness of our method is validated by simulating variant motions of hair in various styles.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationGraphical models, Sept 2020, v. 111, 101077-
dcterms.isPartOfGraphical models-
dcterms.issued2020-09-
dc.identifier.scopus2-s2.0-85086139137-
dc.identifier.eissn1524-0711-
dc.identifier.artn101077-
dc.description.validate202402 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCOMP-0247en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational High Technology Research and Development Program of China (863 Program); National Natural Science Foundation of China; The Hong Kong Polytechnic University; University of Macauen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS22382995en_US
dc.description.oaCategoryGreen (AAM)en_US
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